End of training

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.8491
-- Wer Score: 27.3311
+- Loss: 6.8347
+- Wer Score: 36.5683
 
 ## Model description
 
@@ -49,10 +49,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Score |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|
-| 9.5592        | 0.21  | 10   | 8.4159          | 77.3246   |
-| 8.0991        | 0.43  | 20   | 7.6337          | 77.4139   |
-| 7.4706        | 0.64  | 30   | 7.1321          | 54.4126   |
-| 7.0716        | 0.85  | 40   | 6.8491          | 27.3311   |
+| 9.5449        | 0.21  | 10   | 8.4043          | 75.6190   |
+| 8.092         | 0.43  | 20   | 7.6198          | 76.5618   |
+| 7.4582        | 0.64  | 30   | 7.1177          | 60.0286   |
+| 7.0634        | 0.85  | 40   | 6.8347          | 36.5683   |
 
 
 ### Framework versions

runs/Nov21_08-52-25_Heribertos-MacBook-Pro.local/events.out.tfevents.1700556745.Heribertos-MacBook-Pro.local.11575.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf5977ff11a465668b446bac058d96bf02afd59924b2788fc71b26e40bd45c7e
-size 6289
+oid sha256:78b36ee941fc117a6295aa916e6d2b791c3f9dd9de738c19b1984eee04962aa3
+size 6637